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The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to the behavior of the hinge loss.
Support vector machine, a machine learning algorithm Stroboscopic effect visibility measure (SVM), a measure for assessing a type of temporal light artefacts Other
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Product activation is a license validation procedure required by some proprietary software programs. Product activation prevents unlimited free use of copied or replicated software. Unactivated software refuses to fully function until it determines whether it is authorized to fully function. Activation allows the software to stop blocking its use.
About Wikipedia; Contact us; Contribute Help; ... Download QR code; Print/export ... Structured support vector machine
The structured support-vector machine is a machine learning algorithm that generalizes the Support-Vector Machine (SVM) classifier. Whereas the SVM classifier supports binary classification , multiclass classification and regression , the structured SVM allows training of a classifier for general structured output labels .
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